C2f-Faster-based YOLOv8n power transmission line fault detection method
A YOLOv8n power transmission line fault detection method based on C2f-Faster belongs to the technical field of computer vision, and comprises the following steps: S1, establishing a fault detection data set; s2, marking the collected data set, and randomly dividing the data set into a training set,...
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| creator | DENG XIANGSHUAI DU DONGSHENG ZHAO ZHEMIN LIAN HE REN YIMING |
| description | A YOLOv8n power transmission line fault detection method based on C2f-Faster belongs to the technical field of computer vision, and comprises the following steps: S1, establishing a fault detection data set; s2, marking the collected data set, and randomly dividing the data set into a training set, a verification set and a test set according to 8: 2: 1; s3, in the aspect of a model, replacing a C2f module with a C2f-Faster module, improving a backbone network (Backbone) and a neck network (Neck) of the YOLOv8n, and constructing a YOLOv8n detection model based on the C2f-Faster; s4, a YOLOv8n detection model based on C2f-Faster is trained on the basis of the training set, and a detection model is obtained; and S5, finally, inputting the test set into a YOLOv8n detection model based on C2f-Faster, and outputting a power transmission line fault detection result, thereby realizing power transmission line fault diagnosis, and having very strong practical significance. By improving the backbone network and the neck |
| format | Patent |
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By improving the backbone network and the neck</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | C2f-Faster-based YOLOv8n power transmission line fault detection method |
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